Intraorganizational scientific collaboration: analysis of networks by co-occurrence of keywords.

• Autor(a) principal: Gerotti Franco, Nathalia Mendes
• Data de Publicação: 2019
• Outros Autores: Faria, Leandro Innocentini Lopes de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Em Questão (Online)
• Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/79906
• topic: Análise de Redes. Colaboração científica. Coocorrência de palavras. Acoplamento.; Network Analysis. Scientific collaboration. Co-occurrence of words. Coupling.

 Research on the impacts of collaboration on scientific research hasbeen growing in recent years, mainly focused on the policy implications andallocation of financial resources. Scientific collaboration can encompass variouslevels of analysis, with emphasis on the internal - intrainstitutional, (intra)national - or in situating what is being analyzed in an external context -interinstitutional, international and others. However, the issue of intraorganizationalcollaboration and identification of possible collaborations havelittle approach and studies. There is no knowledge of studies that deal with thesetwo themes in order to identify opportunities for internal collaboration in an institution. Thus, this paper presents an overview of the scientific collaborationbetween the professors of a federal university in the state of São Paulo, andpresents a method to identify potential researchers for future collaborations. Theidentification of these potential collaborations is based on the coupling ofauthors by subject matter through the keywords that the professors themselvesfill in their Lattes Curricula. 635 professors and 2,678 words were identified. Asa result, a keyword affiliation network where it is possible to identifyresearchers with high potential for collaboration is presented, which can helpteachers identify their potential partners, as well as be used by strategicinstitutional bodies to foster collaboration between internal professors to theorganization.